Overview

Dataset statistics

Number of variables20
Number of observations327
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory53.6 KiB
Average record size in memory168.0 B

Variable types

NUM20

Warnings

WHITE_FEMALE is highly correlated with AFRICAN_AMERICAN_FEMALE and 3 other fieldsHigh correlation
AFRICAN_AMERICAN_FEMALE is highly correlated with WHITE_FEMALE and 4 other fieldsHigh correlation
MALE is highly correlated with FEMALEHigh correlation
FEMALE is highly correlated with MALEHigh correlation
AFRICAN_AMERICAN_MALE is highly correlated with AFRICAN_AMERICAN_FEMALE and 3 other fieldsHigh correlation
WHITE_MALE is highly correlated with AFRICAN_AMERICAN_FEMALE and 2 other fieldsHigh correlation
AFRICAN_AMERICAN is highly correlated with AFRICAN_AMERICAN_FEMALE and 4 other fieldsHigh correlation
ASIAN is highly correlated with ASIAN_FEMALE and 1 other fieldsHigh correlation
ASIAN_FEMALE is highly correlated with ASIANHigh correlation
ASIAN_MALE is highly correlated with ASIANHigh correlation
HISPANIC is highly correlated with HISPANIC_FEMALE and 1 other fieldsHigh correlation
HISPANIC_FEMALE is highly correlated with HISPANICHigh correlation
HISPANIC_MALE is highly correlated with HISPANICHigh correlation
WHITE is highly correlated with AFRICAN_AMERICAN_FEMALE and 4 other fieldsHigh correlation
ECONOMICALLY_DISADVANTAGED has unique values Unique
HISPANIC_FEMALE has 10 (3.1%) zeros Zeros
ASIAN_FEMALE has 82 (25.1%) zeros Zeros
AFRICAN_AMERICAN_FEMALE has 11 (3.4%) zeros Zeros
WHITE_FEMALE has 15 (4.6%) zeros Zeros
AFRICAN_AMERICAN_MALE has 11 (3.4%) zeros Zeros
WHITE_MALE has 8 (2.4%) zeros Zeros
ASIAN_MALE has 87 (26.6%) zeros Zeros
HISPANIC_MALE has 7 (2.1%) zeros Zeros
AFRICAN_AMERICAN has 4 (1.2%) zeros Zeros
ASIAN has 58 (17.7%) zeros Zeros

Reproduction

Analysis started2020-11-03 18:03:45.408759
Analysis finished2020-11-03 18:04:54.360624
Duration1 minute and 8.95 seconds
Software versionpandas-profiling v2.9.0
Download configurationconfig.yaml

Variables

DISTRICT_ID
Real number (ℝ≥0)

Distinct121
Distinct (%)37.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean530.6544343
Minimum10
Maximum985
Zeros0
Zeros (%)0.0%
Memory size2.6 KiB
2020-11-03T12:04:54.476625image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile63.7
Q1277.5
median570
Q3792
95-th percentile940
Maximum985
Range975
Interquartile range (IQR)514.5

Descriptive statistics

Standard deviation284.2355151
Coefficient of variation (CV)0.5356320362
Kurtosis-1.295871971
Mean530.6544343
Median Absolute Deviation (MAD)240
Skewness-0.2056363684
Sum173524
Variance80789.82807
MonotocityIncreasing
2020-11-03T12:04:54.648632image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
7923711.3%
 
190247.3%
 
330185.5%
 
470154.6%
 
940103.1%
 
83082.4%
 
75082.4%
 
63072.1%
 
60061.8%
 
74061.8%
 
Other values (111)18857.5%
 
ValueCountFrequency (%) 
1020.6%
 
1210.3%
 
2030.9%
 
3010.3%
 
4010.3%
 
ValueCountFrequency (%) 
98551.5%
 
95051.5%
 
940103.1%
 
93010.3%
 
92041.2%
 

SCHOOL_ID
Real number (ℝ≥0)

Distinct156
Distinct (%)47.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean748.8012232
Minimum1
Maximum8275
Zeros0
Zeros (%)0.0%
Memory size2.6 KiB
2020-11-03T12:04:54.833630image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.3
Q125
median50
Q3122.5
95-th percentile8008.6
Maximum8275
Range8274
Interquartile range (IQR)97.5

Descriptive statistics

Standard deviation1994.994425
Coefficient of variation (CV)2.664251023
Kurtosis8.80494845
Mean748.8012232
Median Absolute Deviation (MAD)35
Skewness3.154846337
Sum244858
Variance3980002.755
MonotocityNot monotonic
2020-11-03T12:04:55.000628image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
15195.8%
 
25195.8%
 
40144.3%
 
10123.7%
 
20113.4%
 
35103.1%
 
3092.8%
 
592.8%
 
4582.4%
 
7061.8%
 
Other values (146)21064.2%
 
ValueCountFrequency (%) 
110.3%
 
210.3%
 
341.2%
 
410.3%
 
592.8%
 
ValueCountFrequency (%) 
827510.3%
 
825210.3%
 
823410.3%
 
823210.3%
 
821710.3%
 

grad_rate
Real number (ℝ≥0)

Distinct45
Distinct (%)13.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8921406728
Minimum0.11
Maximum0.99
Zeros0
Zeros (%)0.0%
Memory size2.6 KiB
2020-11-03T12:04:55.177626image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.11
5-th percentile0.676
Q10.88
median0.93
Q30.96
95-th percentile0.98
Maximum0.99
Range0.88
Interquartile range (IQR)0.08

Descriptive statistics

Standard deviation0.1269015068
Coefficient of variation (CV)0.1422438306
Kurtosis16.84823771
Mean0.8921406728
Median Absolute Deviation (MAD)0.03
Skewness-3.657600245
Sum291.73
Variance0.01610399242
MonotocityNot monotonic
2020-11-03T12:04:55.334626image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%) 
0.963611.0%
 
0.943510.7%
 
0.97298.9%
 
0.92288.6%
 
0.93247.3%
 
0.95226.7%
 
0.98216.4%
 
0.91185.5%
 
0.9164.9%
 
0.88123.7%
 
Other values (35)8626.3%
 
ValueCountFrequency (%) 
0.1110.3%
 
0.1210.3%
 
0.1510.3%
 
0.1910.3%
 
0.210.3%
 
ValueCountFrequency (%) 
0.9982.4%
 
0.98216.4%
 
0.97298.9%
 
0.963611.0%
 
0.95226.7%
 

TOTAL
Real number (ℝ≥0)

Distinct302
Distinct (%)92.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean876.6360856
Minimum13
Maximum2773
Zeros0
Zeros (%)0.0%
Memory size2.6 KiB
2020-11-03T12:04:55.503625image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum13
5-th percentile120.6
Q1452
median728
Q31209
95-th percentile2041.1
Maximum2773
Range2760
Interquartile range (IQR)757

Descriptive statistics

Standard deviation573.2477481
Coefficient of variation (CV)0.6539175805
Kurtosis0.253089679
Mean876.6360856
Median Absolute Deviation (MAD)341
Skewness0.8970511019
Sum286660
Variance328612.9807
MonotocityNot monotonic
2020-11-03T12:04:55.660629image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
100630.9%
 
55430.9%
 
166720.6%
 
53320.6%
 
83320.6%
 
81820.6%
 
40720.6%
 
44520.6%
 
91420.6%
 
70720.6%
 
Other values (292)30593.3%
 
ValueCountFrequency (%) 
1310.3%
 
1610.3%
 
2910.3%
 
3710.3%
 
5110.3%
 
ValueCountFrequency (%) 
277310.3%
 
273410.3%
 
241110.3%
 
232910.3%
 
229510.3%
 

ECONOMICALLY_DISADVANTAGED
Real number (ℝ≥0)

UNIQUE

Distinct327
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3268897077
Minimum0.007798440312
Maximum0.8571428571
Zeros0
Zeros (%)0.0%
Memory size2.6 KiB
2020-11-03T12:04:55.841629image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.007798440312
5-th percentile0.0714057229
Q10.220296362
median0.3027777778
Q30.397238552
95-th percentile0.6741727912
Maximum0.8571428571
Range0.8493444168
Interquartile range (IQR)0.17694219

Descriptive statistics

Standard deviation0.1686775526
Coefficient of variation (CV)0.5160075358
Kurtosis0.5547541236
Mean0.3268897077
Median Absolute Deviation (MAD)0.08657072274
Skewness0.7650649861
Sum106.8929344
Variance0.02845211674
MonotocityNot monotonic
2020-11-03T12:04:56.019626image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.333333333310.3%
 
0.273447820310.3%
 
0.546004842610.3%
 
0.702064896810.3%
 
0.428290766210.3%
 
0.304195804210.3%
 
0.310.3%
 
0.636363636410.3%
 
0.334467120210.3%
 
0.371845949510.3%
 
Other values (317)31796.9%
 
ValueCountFrequency (%) 
0.00779844031210.3%
 
0.0106681639510.3%
 
0.0155709342610.3%
 
0.0250696378810.3%
 
0.0286951813810.3%
 
ValueCountFrequency (%) 
0.857142857110.3%
 
0.825991189410.3%
 
0.803249097510.3%
 
0.786856127910.3%
 
0.771341463410.3%
 

FEMALE
Real number (ℝ≥0)

HIGH CORRELATION

Distinct323
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4865956549
Minimum0.1538461538
Maximum1
Zeros0
Zeros (%)0.0%
Memory size2.6 KiB
2020-11-03T12:04:56.210627image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.1538461538
5-th percentile0.4395424157
Q10.4696411413
median0.4849699399
Q30.5010976447
95-th percentile0.5421590809
Maximum1
Range0.8461538462
Interquartile range (IQR)0.03145650346

Descriptive statistics

Standard deviation0.06028468513
Coefficient of variation (CV)0.1238907181
Kurtosis23.51855634
Mean0.4865956549
Median Absolute Deviation (MAD)0.015625331
Skewness1.01582001
Sum159.1167792
Variance0.003634243262
MonotocityNot monotonic
2020-11-03T12:04:56.376625image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.482142857130.9%
 
0.520.6%
 
0.521739130420.6%
 
0.522388059710.3%
 
0.491695804210.3%
 
0.485970819310.3%
 
0.521367521410.3%
 
0.475644699110.3%
 
0.498820754710.3%
 
0.309859154910.3%
 
Other values (313)31395.7%
 
ValueCountFrequency (%) 
0.153846153810.3%
 
0.183673469410.3%
 
0.236842105310.3%
 
0.2510.3%
 
0.27586206910.3%
 
ValueCountFrequency (%) 
110.3%
 
0.729729729710.3%
 
0.711191335710.3%
 
0.682242990710.3%
 
0.666666666710.3%
 

HISPANIC_FEMALE
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct312
Distinct (%)95.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.039851951
Minimum0
Maximum0.3874643875
Zeros10
Zeros (%)3.1%
Memory size2.6 KiB
2020-11-03T12:04:56.555628image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.003209064327
Q10.01214741509
median0.02362204724
Q30.04831310117
95-th percentile0.1445876109
Maximum0.3874643875
Range0.3874643875
Interquartile range (IQR)0.03616568609

Descriptive statistics

Standard deviation0.04981535935
Coefficient of variation (CV)1.250010554
Kurtosis13.2859392
Mean0.039851951
Median Absolute Deviation (MAD)0.01386121915
Skewness3.148653787
Sum13.03158798
Variance0.002481570027
MonotocityNot monotonic
2020-11-03T12:04:56.739625image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0103.1%
 
0.00990099009930.9%
 
0.00502512562820.6%
 
0.0131578947420.6%
 
0.0106100795820.6%
 
0.00375234521620.6%
 
0.0626878488610.3%
 
0.0176870748310.3%
 
0.067594433410.3%
 
0.00675675675710.3%
 
Other values (302)30292.4%
 
ValueCountFrequency (%) 
0103.1%
 
0.00211864406810.3%
 
0.00220264317210.3%
 
0.00227790432810.3%
 
0.00236406619410.3%
 
ValueCountFrequency (%) 
0.387464387510.3%
 
0.328767123310.3%
 
0.264270613110.3%
 
0.240963855410.3%
 
0.233707865210.3%
 

ASIAN_FEMALE
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct243
Distinct (%)74.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.007728359289
Minimum0
Maximum0.0899820036
Zeros82
Zeros (%)25.1%
Memory size2.6 KiB
2020-11-03T12:04:56.930625image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.0004222972973
median0.003541912633
Q30.009459774603
95-th percentile0.02944246047
Maximum0.0899820036
Range0.0899820036
Interquartile range (IQR)0.009037477306

Descriptive statistics

Standard deviation0.01152424548
Coefficient of variation (CV)1.491163266
Kurtosis12.83757639
Mean0.007728359289
Median Absolute Deviation (MAD)0.003541912633
Skewness3.051041407
Sum2.527173488
Variance0.0001328082339
MonotocityNot monotonic
2020-11-03T12:04:57.109636image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
08225.1%
 
0.0112359550620.6%
 
0.0144927536220.6%
 
0.00716332378220.6%
 
0.00387096774210.3%
 
0.0344478216810.3%
 
0.00145985401510.3%
 
0.00244200244210.3%
 
0.0153417015310.3%
 
0.00365853658510.3%
 
Other values (233)23371.3%
 
ValueCountFrequency (%) 
08225.1%
 
0.000844594594610.3%
 
0.000989119683510.3%
 
0.00104712041910.3%
 
0.00109409190410.3%
 
ValueCountFrequency (%) 
0.089982003610.3%
 
0.0713082537910.3%
 
0.0558961413610.3%
 
0.053638059710.3%
 
0.0521518987310.3%
 

AFRICAN_AMERICAN_FEMALE
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct314
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1247527596
Minimum0
Maximum0.6448598131
Zeros11
Zeros (%)3.4%
Memory size2.6 KiB
2020-11-03T12:04:57.301625image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.003059472162
Q10.01309401927
median0.04743083004
Q30.1808198279
95-th percentile0.4791562354
Maximum0.6448598131
Range0.6448598131
Interquartile range (IQR)0.1677258087

Descriptive statistics

Standard deviation0.1592933622
Coefficient of variation (CV)1.276872453
Kurtosis0.6811652616
Mean0.1247527596
Median Absolute Deviation (MAD)0.040208481
Skewness1.405757605
Sum40.79415238
Variance0.02537437524
MonotocityNot monotonic
2020-11-03T12:04:57.480625image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0113.4%
 
0.0109890109920.6%
 
0.00349650349720.6%
 
0.0104712041920.6%
 
0.520231213910.3%
 
0.00450450450510.3%
 
0.408536585410.3%
 
0.0425120772910.3%
 
0.00555555555610.3%
 
0.0884871550910.3%
 
Other values (304)30493.0%
 
ValueCountFrequency (%) 
0113.4%
 
0.00076161462310.3%
 
0.00142247510710.3%
 
0.00196463654210.3%
 
0.00241545893710.3%
 
ValueCountFrequency (%) 
0.644859813110.3%
 
0.571428571410.3%
 
0.561253561310.3%
 
0.553903345710.3%
 
0.527239709410.3%
 

WHITE_FEMALE
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct312
Distinct (%)95.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3117908165
Minimum0
Maximum0.6756756757
Zeros15
Zeros (%)4.6%
Memory size2.6 KiB
2020-11-03T12:04:57.672626image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.001737678957
Q10.1786388525
median0.3805555556
Q30.4412827452
95-th percentile0.4750749251
Maximum0.6756756757
Range0.6756756757
Interquartile range (IQR)0.2626438927

Descriptive statistics

Standard deviation0.165776808
Coefficient of variation (CV)0.5316924017
Kurtosis-0.7570343847
Mean0.3117908165
Median Absolute Deviation (MAD)0.07548840049
Skewness-0.776248733
Sum101.955597
Variance0.02748195008
MonotocityNot monotonic
2020-11-03T12:04:57.849627image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0154.6%
 
0.444444444420.6%
 
0.421112372310.3%
 
0.00472813238810.3%
 
0.320199087510.3%
 
0.266409266410.3%
 
0.351648351610.3%
 
0.0366013071910.3%
 
0.0278699402810.3%
 
0.441860465110.3%
 
Other values (302)30292.4%
 
ValueCountFrequency (%) 
0154.6%
 
0.00148809523810.3%
 
0.00172117039610.3%
 
0.00177619893410.3%
 
0.00191570881210.3%
 
ValueCountFrequency (%) 
0.675675675710.3%
 
0.610.3%
 
0.56862745110.3%
 
0.53703703710.3%
 
0.519480519510.3%
 

MALE
Real number (ℝ≥0)

HIGH CORRELATION

Distinct323
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5134043451
Minimum0
Maximum0.8461538462
Zeros1
Zeros (%)0.3%
Memory size2.6 KiB
2020-11-03T12:04:58.048627image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.4578409191
Q10.4989023553
median0.5150300601
Q30.5303588587
95-th percentile0.5604575843
Maximum0.8461538462
Range0.8461538462
Interquartile range (IQR)0.03145650346

Descriptive statistics

Standard deviation0.06028468513
Coefficient of variation (CV)0.1174214549
Kurtosis23.51855634
Mean0.5134043451
Median Absolute Deviation (MAD)0.015625331
Skewness-1.01582001
Sum167.8832208
Variance0.003634243262
MonotocityNot monotonic
2020-11-03T12:04:58.217626image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.517857142930.9%
 
0.520.6%
 
0.478260869620.6%
 
0.477611940310.3%
 
0.494939271310.3%
 
0.51596053410.3%
 
0.534883720910.3%
 
0.551515151510.3%
 
0.50304506710.3%
 
0.508534850610.3%
 
Other values (313)31395.7%
 
ValueCountFrequency (%) 
010.3%
 
0.270270270310.3%
 
0.288808664310.3%
 
0.317757009310.3%
 
0.333333333310.3%
 
ValueCountFrequency (%) 
0.846153846210.3%
 
0.816326530610.3%
 
0.763157894710.3%
 
0.7510.3%
 
0.72413793110.3%
 

AFRICAN_AMERICAN_MALE
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct317
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1215015049
Minimum0
Maximum0.5576407507
Zeros11
Zeros (%)3.4%
Memory size2.6 KiB
2020-11-03T12:04:58.401629image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.002269417223
Q10.01469913303
median0.05129913391
Q30.1856731575
95-th percentile0.4639587561
Maximum0.5576407507
Range0.5576407507
Interquartile range (IQR)0.1709740244

Descriptive statistics

Standard deviation0.1502822207
Coefficient of variation (CV)1.236875385
Kurtosis0.5338676258
Mean0.1215015049
Median Absolute Deviation (MAD)0.04302361978
Skewness1.352877798
Sum39.7309921
Variance0.02258474586
MonotocityNot monotonic
2020-11-03T12:04:58.565626image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0113.4%
 
0.00932835820910.3%
 
0.0225080385910.3%
 
0.0270270270310.3%
 
0.0603248259910.3%
 
0.020202020210.3%
 
0.143031784810.3%
 
0.0501319261210.3%
 
0.0268270120310.3%
 
0.197707736410.3%
 
Other values (307)30793.9%
 
ValueCountFrequency (%) 
0113.4%
 
0.00146842878110.3%
 
0.00171526586610.3%
 
0.00186915887910.3%
 
0.00201207243510.3%
 
ValueCountFrequency (%) 
0.557640750710.3%
 
0.528662420410.3%
 
0.509025270810.3%
 
0.50609756110.3%
 
0.504405286310.3%
 

WHITE_MALE
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct320
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.33865467
Minimum0
Maximum0.7692307692
Zeros8
Zeros (%)2.4%
Memory size2.6 KiB
2020-11-03T12:04:58.751627image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.004303594352
Q10.229159772
median0.4050297816
Q30.4719601677
95-th percentile0.5165941365
Maximum0.7692307692
Range0.7692307692
Interquartile range (IQR)0.2428003957

Descriptive statistics

Standard deviation0.1760047989
Coefficient of variation (CV)0.5197176193
Kurtosis-0.5948250582
Mean0.33865467
Median Absolute Deviation (MAD)0.08529279904
Skewness-0.7598101866
Sum110.7400771
Variance0.03097768922
MonotocityNot monotonic
2020-11-03T12:04:58.932628image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
082.4%
 
0.472222222210.3%
 
0.369230769210.3%
 
0.477649006610.3%
 
0.497185741110.3%
 
0.406654343810.3%
 
0.466783216810.3%
 
0.380975374210.3%
 
0.00884955752210.3%
 
0.417437252310.3%
 
Other values (310)31094.8%
 
ValueCountFrequency (%) 
082.4%
 
0.0018159806310.3%
 
0.00207039337510.3%
 
0.00216919739710.3%
 
0.00268096514710.3%
 
ValueCountFrequency (%) 
0.769230769210.3%
 
0.689655172410.3%
 
0.687510.3%
 
0.591623036610.3%
 
0.58227848110.3%
 

ASIAN_MALE
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct235
Distinct (%)71.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.007391464617
Minimum0
Maximum0.06958608278
Zeros87
Zeros (%)26.6%
Memory size2.6 KiB
2020-11-03T12:04:59.131625image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.003658536585
Q30.009138647666
95-th percentile0.02849408732
Maximum0.06958608278
Range0.06958608278
Interquartile range (IQR)0.009138647666

Descriptive statistics

Standard deviation0.0109408413
Coefficient of variation (CV)1.480199374
Kurtosis8.807196186
Mean0.007391464617
Median Absolute Deviation (MAD)0.003658536585
Skewness2.734796319
Sum2.41700893
Variance0.0001197020083
MonotocityNot monotonic
2020-11-03T12:04:59.309625image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
08726.6%
 
0.00132100396320.6%
 
0.00453514739220.6%
 
0.00766283524920.6%
 
0.00174825174820.6%
 
0.00523560209420.6%
 
0.00286532951320.6%
 
0.0125603864710.3%
 
0.00175131348510.3%
 
0.0128810648310.3%
 
Other values (225)22568.8%
 
ValueCountFrequency (%) 
08726.6%
 
0.000605326876510.3%
 
0.000966183574910.3%
 
0.000989119683510.3%
 
0.000992063492110.3%
 
ValueCountFrequency (%) 
0.0695860827810.3%
 
0.0596401028310.3%
 
0.0558961413610.3%
 
0.0555877243810.3%
 
0.0547945205510.3%
 

HISPANIC_MALE
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct317
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04285318493
Minimum0
Maximum0.3044397463
Zeros7
Zeros (%)2.1%
Memory size2.6 KiB
2020-11-03T12:04:59.507628image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.003812412402
Q10.01280292361
median0.02512077295
Q30.04781731642
95-th percentile0.1498944739
Maximum0.3044397463
Range0.3044397463
Interquartile range (IQR)0.03501439281

Descriptive statistics

Standard deviation0.05058822459
Coefficient of variation (CV)1.180500928
Kurtosis8.084025942
Mean0.04285318493
Median Absolute Deviation (MAD)0.01452188479
Skewness2.607735633
Sum14.01299147
Variance0.002559168468
MonotocityNot monotonic
2020-11-03T12:04:59.671631image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
072.1%
 
0.0227272727330.9%
 
0.0202702702720.6%
 
0.0219780219820.6%
 
0.0768292682910.3%
 
0.0375180375210.3%
 
0.0454545454510.3%
 
0.00675675675710.3%
 
0.0247747747710.3%
 
0.0358773646410.3%
 
Other values (307)30793.9%
 
ValueCountFrequency (%) 
072.1%
 
0.00121065375310.3%
 
0.00151975683910.3%
 
0.00186046511610.3%
 
0.00191938579710.3%
 
ValueCountFrequency (%) 
0.304439746310.3%
 
0.297762478510.3%
 
0.292246520910.3%
 
0.290923196310.3%
 
0.21696658110.3%
 

AFRICAN_AMERICAN
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct324
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2462542645
Minimum0
Maximum0.9962825279
Zeros4
Zeros (%)1.2%
Memory size2.6 KiB
2020-11-03T12:04:59.893624image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.006618685977
Q10.02826568197
median0.1023174464
Q30.3642978714
95-th percentile0.9424950251
Maximum0.9962825279
Range0.9962825279
Interquartile range (IQR)0.3360321895

Descriptive statistics

Standard deviation0.3050510741
Coefficient of variation (CV)1.238764635
Kurtosis0.3998034493
Mean0.2462542645
Median Absolute Deviation (MAD)0.08565077977
Skewness1.329996772
Sum80.52514448
Variance0.09305615781
MonotocityNot monotonic
2020-11-03T12:05:00.095625image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
041.2%
 
0.00694444444410.3%
 
0.0579591836710.3%
 
0.139034627510.3%
 
0.967509025310.3%
 
0.310.3%
 
0.131652661110.3%
 
0.00675675675710.3%
 
0.907637655410.3%
 
0.0415335463310.3%
 
Other values (314)31496.0%
 
ValueCountFrequency (%) 
041.2%
 
0.00146842878110.3%
 
0.00330033003310.3%
 
0.00361010830310.3%
 
0.00383877159310.3%
 
ValueCountFrequency (%) 
0.996282527910.3%
 
0.993920972610.3%
 
0.993788819910.3%
 
0.992736077510.3%
 
0.991957104610.3%
 

ASIAN
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct262
Distinct (%)80.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01511982391
Minimum0
Maximum0.1595680864
Zeros58
Zeros (%)17.7%
Memory size2.6 KiB
2020-11-03T12:05:00.814626image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.002507406106
median0.007407407407
Q30.01794226812
95-th percentile0.05873310862
Maximum0.1595680864
Range0.1595680864
Interquartile range (IQR)0.01543486201

Descriptive statistics

Standard deviation0.02173617057
Coefficient of variation (CV)1.437594161
Kurtosis10.53127843
Mean0.01511982391
Median Absolute Deviation (MAD)0.006226769863
Skewness2.872614551
Sum4.944182417
Variance0.000472461111
MonotocityNot monotonic
2020-11-03T12:05:00.981624image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
05817.7%
 
0.0114942528730.9%
 
0.0102040816330.9%
 
0.00349650349720.6%
 
0.010101010120.6%
 
0.00375234521620.6%
 
0.00840336134520.6%
 
0.00573065902610.3%
 
0.0110364683310.3%
 
0.0017286084710.3%
 
Other values (252)25277.1%
 
ValueCountFrequency (%) 
05817.7%
 
0.000605326876510.3%
 
0.000994035785310.3%
 
0.00104712041910.3%
 
0.00118063754410.3%
 
ValueCountFrequency (%) 
0.159568086410.3%
 
0.116226838910.3%
 
0.111792282710.3%
 
0.102827763510.3%
 
0.100746268710.3%
 

HISPANIC
Real number (ℝ≥0)

HIGH CORRELATION

Distinct321
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08270513593
Minimum0
Maximum0.5687103594
Zeros3
Zeros (%)0.9%
Memory size2.6 KiB
2020-11-03T12:05:01.181627image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.009309798851
Q10.02539639994
median0.04885343968
Q30.09243912729
95-th percentile0.3082011652
Maximum0.5687103594
Range0.5687103594
Interquartile range (IQR)0.06704272735

Descriptive statistics

Standard deviation0.09589075091
Coefficient of variation (CV)1.159429216
Kurtosis6.85342087
Mean0.08270513593
Median Absolute Deviation (MAD)0.02844527642
Skewness2.483899513
Sum27.04457945
Variance0.009195036111
MonotocityNot monotonic
2020-11-03T12:05:01.338627image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
030.9%
 
0.0204081632720.6%
 
0.0270270270320.6%
 
0.0392156862720.6%
 
0.0540540540520.6%
 
0.538726333910.3%
 
0.0738963531710.3%
 
0.180613668110.3%
 
0.00207039337510.3%
 
0.0568862275410.3%
 
Other values (311)31195.1%
 
ValueCountFrequency (%) 
030.9%
 
0.00151975683910.3%
 
0.00207039337510.3%
 
0.00327868852510.3%
 
0.00328947368410.3%
 
ValueCountFrequency (%) 
0.568710359410.3%
 
0.538726333910.3%
 
0.522885958110.3%
 
0.465753424710.3%
 
0.456262425410.3%
 

WHITE
Real number (ℝ≥0)

HIGH CORRELATION

Distinct323
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6504454865
Minimum0
Maximum0.9901315789
Zeros3
Zeros (%)0.9%
Memory size2.6 KiB
2020-11-03T12:05:01.515626image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.006020840393
Q10.4337778131
median0.8
Q30.9156325336
95-th percentile0.9666470203
Maximum0.9901315789
Range0.9901315789
Interquartile range (IQR)0.4818547205

Descriptive statistics

Standard deviation0.3328340086
Coefficient of variation (CV)0.5117016192
Kurtosis-0.6567692288
Mean0.6504454865
Median Absolute Deviation (MAD)0.1411764706
Skewness-0.920380187
Sum212.6956741
Variance0.1107784773
MonotocityNot monotonic
2020-11-03T12:05:01.708138image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
030.9%
 
0.937520.6%
 
0.946428571420.6%
 
0.912313432810.3%
 
0.00207039337510.3%
 
0.627565982410.3%
 
0.00576923076910.3%
 
0.722811671110.3%
 
0.122887864810.3%
 
0.91122715410.3%
 
Other values (313)31395.7%
 
ValueCountFrequency (%) 
030.9%
 
0.00148809523810.3%
 
0.00172117039610.3%
 
0.0018159806310.3%
 
0.00207039337510.3%
 
ValueCountFrequency (%) 
0.990131578910.3%
 
0.988483685210.3%
 
0.984034833110.3%
 
0.980519480510.3%
 
0.980327868910.3%
 

Expend_per_pupil
Real number (ℝ≥0)

Distinct324
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10175.23171
Minimum3684.62
Maximum39520.57
Zeros0
Zeros (%)0.0%
Memory size2.6 KiB
2020-11-03T12:05:01.887042image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3684.62
5-th percentile7518.356
Q18446.06
median9276.97
Q310776.51
95-th percentile14150.932
Maximum39520.57
Range35835.95
Interquartile range (IQR)2330.45

Descriptive statistics

Standard deviation3630.95075
Coefficient of variation (CV)0.3568420703
Kurtosis29.59366918
Mean10175.23171
Median Absolute Deviation (MAD)1066.95
Skewness4.559330384
Sum3327300.77
Variance13183803.35
MonotocityNot monotonic
2020-11-03T12:05:02.062043image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
5449.5941.2%
 
10789.4310.3%
 
8923.3310.3%
 
8266.1310.3%
 
12476.710.3%
 
12407.3710.3%
 
8364.2510.3%
 
8652.2210.3%
 
11513.8510.3%
 
9016.7510.3%
 
Other values (314)31496.0%
 
ValueCountFrequency (%) 
3684.6210.3%
 
4945.810.3%
 
5304.3310.3%
 
5449.5941.2%
 
5541.1410.3%
 
ValueCountFrequency (%) 
39520.5710.3%
 
38263.2510.3%
 
33437.2510.3%
 
26797.2910.3%
 
21491.8410.3%
 

Interactions

2020-11-03T12:03:49.068754image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:03:49.233757image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:03:49.368755image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:03:49.501757image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:03:49.649755image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:03:49.797758image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:03:49.943757image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:03:50.107755image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:03:50.253755image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:03:50.417623image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:03:50.568624image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:03:50.714624image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:03:50.863621image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:03:51.025621image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:03:51.185620image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:03:51.339624image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:03:51.485623image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:03:51.651621image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:03:51.802621image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:03:52.054623image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:03:52.218622image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:03:52.358621image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:03:52.494622image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:03:52.630625image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:03:52.773625image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:03:52.911623image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:03:53.042624image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:03:53.193621image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:03:53.322621image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:03:53.462626image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:03:53.609626image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:03:53.751622image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:03:53.892621image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:03:54.040623image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:03:54.189622image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:03:54.337622image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:03:54.476623image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:03:54.636621image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:03:54.775621image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:03:54.920623image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:03:55.076621image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:03:55.220623image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:03:55.348623image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:03:55.480622image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:03:55.618623image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:03:55.763622image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:03:55.901622image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:03:56.053622image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:03:56.193621image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:03:56.338622image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:03:56.490621image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:03:56.628621image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:03:56.775625image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:03:57.050627image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:03:57.196623image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:03:57.333622image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
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2020-11-03T12:04:30.535422image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:30.692419image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:30.856420image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:31.017421image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:31.173420image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:31.352423image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:31.509424image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:31.674419image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:31.845423image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:32.000419image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:32.167424image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:32.348424image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:32.520420image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:32.691419image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:33.156420image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:33.327422image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:33.496420image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:33.655421image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:33.829420image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:33.984419image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:34.136424image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:34.288422image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:34.440438image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:34.597420image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:34.751422image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:34.919420image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:35.072420image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:35.235420image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:35.397419image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:35.541427image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:35.696419image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:35.863422image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:36.030420image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:36.188420image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:36.347424image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:36.537424image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:36.708424image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:36.857419image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:37.028419image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:37.183422image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:37.345418image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:37.480420image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:37.630427image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:37.784423image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:37.932420image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:38.107421image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:38.254420image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:38.401422image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:38.574423image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:38.716419image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:38.868424image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:39.044420image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:39.202422image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:39.356420image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:39.498420image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:39.663420image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:39.813423image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:39.963421image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:40.129420image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:40.297422image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:40.459314image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:40.613313image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:40.771319image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:40.933313image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:41.100314image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:41.276314image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:41.424313image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:41.600313image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:41.781313image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:41.943312image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:42.109313image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:42.290318image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:42.458313image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:42.626314image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:42.789316image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:42.981313image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:43.149313image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:43.307314image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:43.474312image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:43.617315image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:43.767316image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:43.910316image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:44.062312image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:44.213315image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:44.360317image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:44.521315image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:44.720313image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:44.879315image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:45.044315image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:45.198315image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:45.362318image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:45.521313image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:45.690314image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:45.853315image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:45.999316image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:46.159319image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:46.306315image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:46.460320image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:46.620314image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:46.763314image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:46.902313image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:47.045313image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:47.196314image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:47.338313image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:47.854313image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:48.019313image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:48.169317image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:48.324313image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:48.485314image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:48.631313image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:48.776314image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:48.933313image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:49.098314image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:49.247313image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:49.378315image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:49.533316image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:49.683312image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:49.833312image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:49.992313image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:50.153315image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:50.316320image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:50.485625image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:50.647629image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:50.804625image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:50.959628image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:51.144624image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:51.297629image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:51.460625image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:51.645626image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:51.797629image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:51.959629image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:52.151627image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:52.332625image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:52.500626image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:52.666627image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:52.830627image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:52.992625image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:53.151627image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Correlations

2020-11-03T12:05:02.261044image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2020-11-03T12:05:02.731380image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2020-11-03T12:05:03.162382image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2020-11-03T12:05:03.544447image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

2020-11-03T12:04:53.508624image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-03T12:04:54.134627image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Sample

First rows

DISTRICT_IDSCHOOL_IDgrad_rateTOTALECONOMICALLY_DISADVANTAGEDFEMALEHISPANIC_FEMALEASIAN_FEMALEAFRICAN_AMERICAN_FEMALEWHITE_FEMALEMALEAFRICAN_AMERICAN_MALEWHITE_MALEASIAN_MALEHISPANIC_MALEAFRICAN_AMERICANASIANHISPANICWHITEExpend_per_pupil
01020.9610750.2474420.4827910.0083720.0055810.0027910.4651160.5172090.0074420.5004650.0046510.0018600.0102330.0102330.0102330.9655819171.37
110250.9511200.3392860.4517860.0107140.0080360.0205360.4098210.5482140.0196430.5053570.0035710.0160710.0401790.0116070.0267860.9151799523.76
212350.9214060.1998580.4914650.0440970.0192030.0704130.3513510.5085350.0853490.3463730.0241820.0469420.1557610.0433850.0910380.69772412546.31
320130.984810.1933470.4428270.0374220.0020790.0166320.3825360.5571730.0270270.4823280.0041580.0374220.0436590.0062370.0748440.8648659106.97
420200.8915060.3718460.4907040.1693230.0033200.0863210.2284200.5092960.0830010.2556440.0079680.1606910.1693230.0112880.3300130.4840647418.07
520350.915340.2378280.4887640.0561800.0037450.0205990.4082400.5112360.0224720.4232210.0000000.0599250.0430710.0037450.1161050.8314618279.85
630250.946370.3265310.4866560.0062790.0015700.0109890.4615380.5133440.0282570.4631080.0031400.0125590.0392460.0047100.0188380.9246479673.19
74050.935150.3864080.4485440.0213590.0000000.0097090.4155340.5514560.0077670.4893200.0019420.0388350.0174760.0019420.0601940.90485410027.42
850630.9313960.2077360.4935530.0358170.0071630.0093120.4376790.5064470.0143270.4491400.0028650.0336680.0236390.0100290.0694840.8868199268.68
9501550.9316670.1511700.4997000.0173970.0029990.0083980.4691060.5003000.0173970.4571090.0047990.0185960.0257950.0077980.0359930.9262158945.95

Last rows

DISTRICT_IDSCHOOL_IDgrad_rateTOTALECONOMICALLY_DISADVANTAGEDFEMALEHISPANIC_FEMALEASIAN_FEMALEAFRICAN_AMERICAN_FEMALEWHITE_FEMALEMALEAFRICAN_AMERICAN_MALEWHITE_MALEASIAN_MALEHISPANIC_MALEAFRICAN_AMERICANASIANHISPANICWHITEExpend_per_pupil
317950250.9418950.2474930.4860160.0585750.0116090.0781000.3356200.5139840.0796830.3620050.0063320.0638520.1577840.0179420.1224270.6976257842.51
318950300.9722200.0711710.4878380.0180180.0139640.0445950.4072070.5121620.0504500.4202700.0139640.0247750.0950450.0279280.0427930.8274777519.21
319950600.965710.1856390.4605950.0052540.0017510.0210160.4325740.5394050.0350260.4763570.0017510.0210160.0560420.0035030.0262700.90893210360.40
320950730.9719350.1090440.4739020.0273900.0160210.0506460.3757110.5260980.0470280.4304910.0129200.0335920.0976740.0289410.0609820.8062027995.72
321950870.94750.1200000.6666670.0266670.0266670.0133330.6000000.3333330.0133330.2933330.0000000.0133330.0266670.0266670.0400000.89333320049.13
322985450.121740.4942530.5862070.0287360.0114940.5229890.0229890.4137930.3390800.0229890.0000000.0459770.8620690.0114940.0747130.0459778025.96
323985500.111730.5317920.5549130.0289020.0000000.5202310.0057800.4450870.4219650.0057800.0000000.0173410.9421970.0000000.0462430.0115618876.53
32498580550.805200.6826920.4942310.0057690.0057690.4826920.0000000.5057690.4923080.0057690.0019230.0057690.9750000.0076920.0115380.0057699794.46
32598580650.735130.6471730.4775830.0058480.0000000.4717350.0000000.5224170.4990250.0136450.0000000.0097470.9707600.0000000.0155950.0136459890.77
32698581400.604610.7093280.4989150.0086770.0065080.4837310.0000000.5010850.4837310.0021690.0000000.0151840.9674620.0065080.0238610.00216910769.02